Triple
T25459890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latvia national football team |
E638014
|
entity |
| Predicate | FIFAmaxRankingDate |
P14838
|
FINISHED |
| Object | 2009-11 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2009-11 | Statement: [Latvia national football team, FIFAmaxRankingDate, 2009-11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAmaxRankingDate Context triple: [Latvia national football team, FIFAmaxRankingDate, 2009-11]
-
A.
fifaRankingHighestDate
chosen
Indicates the date on which an entity achieved its highest-ever FIFA ranking.
-
B.
fifaHighestRanking
Indicates the highest position an entity has ever achieved in the official FIFA world rankings.
-
C.
fifaWorldRankingSystem
Indicates the ranking relationship between national football teams as determined by FIFA’s official world ranking system.
-
D.
fifaRankingBestSpanEnd
Indicates the ending point in time of the period during which an entity held its highest FIFA ranking.
-
E.
fifaRankingHighest
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72a452c8190b53c90a8a725dd69 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:11 p.m.